Overview

Brought to you by YData

Dataset statistics

Number of variables24
Number of observations7845
Missing cells65721
Missing cells (%)34.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory310.4 B

Variable types

DateTime1
Categorical1
Numeric22

Alerts

Covaxin (Doses Administered) is highly overall correlated with Sites and 20 other fieldsHigh correlation
Sites is highly overall correlated with Covaxin (Doses Administered) and 16 other fieldsHigh correlation
18-44 Years (Doses Administered) is highly overall correlated with Covaxin (Doses Administered) and 13 other fieldsHigh correlation
18-44 Years(Individuals Vaccinated) is highly overall correlated with Covaxin (Doses Administered) and 16 other fieldsHigh correlation
45-60 Years (Doses Administered) is highly overall correlated with Covaxin (Doses Administered) and 13 other fieldsHigh correlation
45-60 Years(Individuals Vaccinated) is highly overall correlated with Covaxin (Doses Administered) and 16 other fieldsHigh correlation
60+ Years (Doses Administered) is highly overall correlated with Covaxin (Doses Administered) and 14 other fieldsHigh correlation
60+ Years(Individuals Vaccinated) is highly overall correlated with Covaxin (Doses Administered) and 16 other fieldsHigh correlation
AEFI is highly overall correlated with Covaxin (Doses Administered) and 21 other fieldsHigh correlation
CoviShield (Doses Administered) is highly overall correlated with Covaxin (Doses Administered) and 20 other fieldsHigh correlation
Female (Doses Administered) is highly overall correlated with Covaxin (Doses Administered) and 17 other fieldsHigh correlation
Female(Individuals Vaccinated) is highly overall correlated with Covaxin (Doses Administered) and 14 other fieldsHigh correlation
First Dose Administered is highly overall correlated with Covaxin (Doses Administered) and 20 other fieldsHigh correlation
Male (Doses Administered) is highly overall correlated with Covaxin (Doses Administered) and 17 other fieldsHigh correlation
Male(Individuals Vaccinated) is highly overall correlated with Covaxin (Doses Administered) and 14 other fieldsHigh correlation
Second Dose Administered is highly overall correlated with Covaxin (Doses Administered) and 20 other fieldsHigh correlation
Sessions is highly overall correlated with Covaxin (Doses Administered) and 20 other fieldsHigh correlation
Sputnik V (Doses Administered) is highly overall correlated with Covaxin (Doses Administered) and 15 other fieldsHigh correlation
State is highly overall correlated with 60+ Years (Doses Administered) and 4 other fieldsHigh correlation
Total Doses Administered is highly overall correlated with Covaxin (Doses Administered) and 20 other fieldsHigh correlation
Total Individuals Vaccinated is highly overall correlated with Covaxin (Doses Administered) and 16 other fieldsHigh correlation
Transgender (Doses Administered) is highly overall correlated with Covaxin (Doses Administered) and 17 other fieldsHigh correlation
Transgender(Individuals Vaccinated) is highly overall correlated with Covaxin (Doses Administered) and 14 other fieldsHigh correlation
Total Doses Administered has 224 (2.9%) missing values Missing
Sessions has 224 (2.9%) missing values Missing
Sites has 224 (2.9%) missing values Missing
First Dose Administered has 224 (2.9%) missing values Missing
Second Dose Administered has 224 (2.9%) missing values Missing
Male (Doses Administered) has 384 (4.9%) missing values Missing
Female (Doses Administered) has 384 (4.9%) missing values Missing
Transgender (Doses Administered) has 384 (4.9%) missing values Missing
Covaxin (Doses Administered) has 224 (2.9%) missing values Missing
CoviShield (Doses Administered) has 224 (2.9%) missing values Missing
Sputnik V (Doses Administered) has 4850 (61.8%) missing values Missing
AEFI has 2407 (30.7%) missing values Missing
18-44 Years (Doses Administered) has 6143 (78.3%) missing values Missing
45-60 Years (Doses Administered) has 6143 (78.3%) missing values Missing
60+ Years (Doses Administered) has 6143 (78.3%) missing values Missing
18-44 Years(Individuals Vaccinated) has 4112 (52.4%) missing values Missing
45-60 Years(Individuals Vaccinated) has 4111 (52.4%) missing values Missing
60+ Years(Individuals Vaccinated) has 4111 (52.4%) missing values Missing
Male(Individuals Vaccinated) has 7685 (98.0%) missing values Missing
Female(Individuals Vaccinated) has 7685 (98.0%) missing values Missing
Transgender(Individuals Vaccinated) has 7685 (98.0%) missing values Missing
Total Individuals Vaccinated has 1926 (24.6%) missing values Missing
State is uniformly distributed Uniform
Second Dose Administered has 1048 (13.4%) zeros Zeros
Transgender (Doses Administered) has 870 (11.1%) zeros Zeros
Covaxin (Doses Administered) has 2493 (31.8%) zeros Zeros
Sputnik V (Doses Administered) has 1776 (22.6%) zeros Zeros
AEFI has 108 (1.4%) zeros Zeros

Reproduction

Analysis started2025-08-11 16:11:14.138638
Analysis finished2025-08-11 16:11:53.170881
Duration39.03 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Distinct213
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
Minimum2021-01-02 00:00:00
Maximum2021-12-08 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-08-11T21:41:53.216349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:53.287634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

State
Categorical

High correlation  Uniform 

Distinct37
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size516.5 KiB
Delhi
 
213
Punjab
 
212
Maharashtra
 
212
Manipur
 
212
Meghalaya
 
212
Other values (32)
6784 

Length

Max length40
Median length16
Mean length10.404716
Min length3

Characters and Unicode

Total characters81625
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndia
2nd rowIndia
3rd rowIndia
4th rowIndia
5th rowIndia

Common Values

ValueCountFrequency (%)
Delhi 213
 
2.7%
Punjab 212
 
2.7%
Maharashtra 212
 
2.7%
Manipur 212
 
2.7%
Meghalaya 212
 
2.7%
Mizoram 212
 
2.7%
Nagaland 212
 
2.7%
Odisha 212
 
2.7%
Puducherry 212
 
2.7%
India 212
 
2.7%
Other values (27) 5724
73.0%

Length

2025-08-11T21:41:53.357196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
and 1060
 
8.9%
pradesh 1060
 
8.9%
delhi 213
 
1.8%
chandigarh 212
 
1.8%
nagar 212
 
1.8%
haveli 212
 
1.8%
daman 212
 
1.8%
diu 212
 
1.8%
andhra 212
 
1.8%
arunachal 212
 
1.8%
Other values (38) 8056
67.9%

Most occurring characters

ValueCountFrequency (%)
a 17596
21.6%
r 6148
 
7.5%
h 5937
 
7.3%
d 5300
 
6.5%
n 5088
 
6.2%
4028
 
4.9%
i 3605
 
4.4%
s 3392
 
4.2%
e 3181
 
3.9%
l 2333
 
2.9%
Other values (33) 25017
30.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 81625
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 17596
21.6%
r 6148
 
7.5%
h 5937
 
7.3%
d 5300
 
6.5%
n 5088
 
6.2%
4028
 
4.9%
i 3605
 
4.4%
s 3392
 
4.2%
e 3181
 
3.9%
l 2333
 
2.9%
Other values (33) 25017
30.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 81625
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 17596
21.6%
r 6148
 
7.5%
h 5937
 
7.3%
d 5300
 
6.5%
n 5088
 
6.2%
4028
 
4.9%
i 3605
 
4.4%
s 3392
 
4.2%
e 3181
 
3.9%
l 2333
 
2.9%
Other values (33) 25017
30.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 81625
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 17596
21.6%
r 6148
 
7.5%
h 5937
 
7.3%
d 5300
 
6.5%
n 5088
 
6.2%
4028
 
4.9%
i 3605
 
4.4%
s 3392
 
4.2%
e 3181
 
3.9%
l 2333
 
2.9%
Other values (33) 25017
30.6%

Total Doses Administered
Real number (ℝ)

High correlation  Missing 

Distinct7376
Distinct (%)96.8%
Missing224
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean9188170.5
Minimum7
Maximum5.132284 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:53.418438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile3529
Q1135657
median818202
Q36625243
95-th percentile26791031
Maximum5.132284 × 108
Range5.1322839 × 108
Interquartile range (IQR)6489586

Descriptive statistics

Standard deviation37461801
Coefficient of variation (CV)4.0771774
Kurtosis90.319581
Mean9188170.5
Median Absolute Deviation (MAD)810870
Skewness8.9748922
Sum7.0023048 × 1010
Variance1.4033865 × 1015
MonotonicityNot monotonic
2025-08-11T21:41:53.486770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1931 8
 
0.1%
807 7
 
0.1%
7978 6
 
0.1%
2780 6
 
0.1%
10341 4
 
0.1%
22620 4
 
0.1%
11254 4
 
0.1%
32865 4
 
0.1%
181693 4
 
0.1%
109091 4
 
0.1%
Other values (7366) 7570
96.5%
(Missing) 224
 
2.9%
ValueCountFrequency (%)
7 3
< 0.1%
9 2
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
23 4
0.1%
31 2
< 0.1%
38 1
 
< 0.1%
42 1
 
< 0.1%
47 1
 
< 0.1%
ValueCountFrequency (%)
513228400 1
< 0.1%
507727903 1
< 0.1%
505787038 1
< 0.1%
500087070 1
< 0.1%
490760938 1
< 0.1%
484911273 1
< 0.1%
480643928 1
< 0.1%
473977156 1
< 0.1%
467769865 1
< 0.1%
463113439 1
< 0.1%

Sessions
Real number (ℝ)

High correlation  Missing 

Distinct6464
Distinct (%)84.8%
Missing224
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean479235.8
Minimum0
Maximum35010311
Zeros69
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:53.627652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile138
Q16004
median45470
Q3342869
95-th percentile1303707
Maximum35010311
Range35010311
Interquartile range (IQR)336865

Descriptive statistics

Standard deviation1911511.2
Coefficient of variation (CV)3.9886653
Kurtosis94.782056
Mean479235.8
Median Absolute Deviation (MAD)45243
Skewness8.8615997
Sum3.652256 × 109
Variance3.653875 × 1012
MonotonicityNot monotonic
2025-08-11T21:41:53.702643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
0.9%
1000 18
 
0.2%
6900 17
 
0.2%
200 16
 
0.2%
7200 15
 
0.2%
1100 15
 
0.2%
1200 13
 
0.2%
7300 12
 
0.2%
6480 11
 
0.1%
19 11
 
0.1%
Other values (6454) 7424
94.6%
(Missing) 224
 
2.9%
ValueCountFrequency (%)
0 69
0.9%
1 2
 
< 0.1%
2 5
 
0.1%
3 1
 
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
6 4
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
35010311 1
< 0.1%
29924071 1
< 0.1%
27953093 1
< 0.1%
27105115 1
< 0.1%
26458510 1
< 0.1%
26140934 1
< 0.1%
25874790 1
< 0.1%
23639645 1
< 0.1%
23436266 1
< 0.1%
22675183 1
< 0.1%

Sites
Real number (ℝ)

High correlation  Missing 

Distinct3044
Distinct (%)39.9%
Missing224
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean2282.8721
Minimum0
Maximum73933
Zeros69
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:53.772649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q169
median597
Q31708
95-th percentile5854
Maximum73933
Range73933
Interquartile range (IQR)1639

Descriptive statistics

Standard deviation7275.9737
Coefficient of variation (CV)3.1872017
Kurtosis42.635005
Mean2282.8721
Median Absolute Deviation (MAD)560
Skewness6.3297962
Sum17397768
Variance52939794
MonotonicityNot monotonic
2025-08-11T21:41:53.847127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 88
 
1.1%
9 82
 
1.0%
0 69
 
0.9%
13 63
 
0.8%
12 51
 
0.7%
14 40
 
0.5%
63 38
 
0.5%
39 38
 
0.5%
62 37
 
0.5%
65 36
 
0.5%
Other values (3034) 7079
90.2%
(Missing) 224
 
2.9%
ValueCountFrequency (%)
0 69
0.9%
1 23
 
0.3%
2 26
 
0.3%
3 13
 
0.2%
4 16
 
0.2%
5 27
 
0.3%
6 18
 
0.2%
7 19
 
0.2%
8 15
 
0.2%
9 82
1.0%
ValueCountFrequency (%)
73933 1
< 0.1%
73506 1
< 0.1%
71554 1
< 0.1%
71051 1
< 0.1%
69832 1
< 0.1%
68905 1
< 0.1%
68575 1
< 0.1%
68061 1
< 0.1%
67834 1
< 0.1%
67123 1
< 0.1%

First Dose Administered
Real number (ℝ)

High correlation  Missing 

Distinct7367
Distinct (%)96.7%
Missing224
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean7414415.3
Minimum7
Maximum4.0015041 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:53.921779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile3485
Q1116632
median661459
Q35387805
95-th percentile21436551
Maximum4.0015041 × 108
Range4.001504 × 108
Interquartile range (IQR)5271173

Descriptive statistics

Standard deviation29952088
Coefficient of variation (CV)4.03971
Kurtosis87.084698
Mean7414415.3
Median Absolute Deviation (MAD)654711
Skewness8.8367298
Sum5.6505259 × 1010
Variance8.9712756 × 1014
MonotonicityNot monotonic
2025-08-11T21:41:53.997942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1824 7
 
0.1%
807 7
 
0.1%
7304 6
 
0.1%
2780 6
 
0.1%
40214 4
 
0.1%
644716 4
 
0.1%
535955 4
 
0.1%
611335 4
 
0.1%
559321 4
 
0.1%
16927 4
 
0.1%
Other values (7357) 7571
96.5%
(Missing) 224
 
2.9%
ValueCountFrequency (%)
7 3
< 0.1%
9 2
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
23 4
0.1%
31 2
< 0.1%
38 1
 
< 0.1%
42 1
 
< 0.1%
47 1
 
< 0.1%
ValueCountFrequency (%)
400150406 1
< 0.1%
395961470 1
< 0.1%
394599261 1
< 0.1%
390344882 1
< 0.1%
382658786 1
< 0.1%
378269912 1
< 0.1%
375040194 1
< 0.1%
369654820 1
< 0.1%
365110984 1
< 0.1%
361264651 1
< 0.1%

Second Dose Administered
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct6275
Distinct (%)82.3%
Missing224
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean1773755.2
Minimum0
Maximum1.1307799 × 108
Zeros1048
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:54.073714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112831
median138818
Q31166434
95-th percentile5532319
Maximum1.1307799 × 108
Range1.1307799 × 108
Interquartile range (IQR)1153603

Descriptive statistics

Standard deviation7570382.4
Coefficient of variation (CV)4.2679972
Kurtosis105.04327
Mean1773755.2
Median Absolute Deviation (MAD)138818
Skewness9.5702907
Sum1.3517789 × 1010
Variance5.731069 × 1013
MonotonicityNot monotonic
2025-08-11T21:41:54.148340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1048
 
13.4%
107 8
 
0.1%
37259 6
 
0.1%
674 6
 
0.1%
2253 5
 
0.1%
35326 5
 
0.1%
27758 4
 
0.1%
104220 4
 
0.1%
158658 4
 
0.1%
6962 4
 
0.1%
Other values (6265) 6527
83.2%
(Missing) 224
 
2.9%
ValueCountFrequency (%)
0 1048
13.4%
2 3
 
< 0.1%
3 4
 
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
9 1
 
< 0.1%
15 2
 
< 0.1%
19 2
 
< 0.1%
23 1
 
< 0.1%
45 1
 
< 0.1%
ValueCountFrequency (%)
113077994 1
< 0.1%
111766433 1
< 0.1%
111187777 1
< 0.1%
109742188 1
< 0.1%
108102152 1
< 0.1%
106641361 1
< 0.1%
105603734 1
< 0.1%
104322336 1
< 0.1%
102658881 1
< 0.1%
101848788 1
< 0.1%

Male (Doses Administered)
Real number (ℝ)

High correlation  Missing 

Distinct7170
Distinct (%)96.1%
Missing384
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean3620156
Minimum0
Maximum2.7016362 × 108
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:54.222410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1410
Q156555
median389785
Q32735777
95-th percentile12228709
Maximum2.7016362 × 108
Range2.7016362 × 108
Interquartile range (IQR)2679222

Descriptive statistics

Standard deviation17379383
Coefficient of variation (CV)4.8007276
Kurtosis151.38054
Mean3620156
Median Absolute Deviation (MAD)385095
Skewness11.955778
Sum2.7009984 × 1010
Variance3.0204294 × 1014
MonotonicityNot monotonic
2025-08-11T21:41:54.298171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1410 7
 
0.1%
623 7
 
0.1%
3984 6
 
0.1%
745 6
 
0.1%
588 6
 
0.1%
26 4
 
0.1%
264730 4
 
0.1%
6219 4
 
0.1%
15 4
 
0.1%
10207 4
 
0.1%
Other values (7160) 7409
94.4%
(Missing) 384
 
4.9%
ValueCountFrequency (%)
0 2
< 0.1%
3 3
< 0.1%
9 1
 
< 0.1%
12 2
< 0.1%
13 2
< 0.1%
14 4
0.1%
15 4
0.1%
16 4
0.1%
20 1
 
< 0.1%
23 2
< 0.1%
ValueCountFrequency (%)
270163622 1
< 0.1%
267236380 1
< 0.1%
266234950 1
< 0.1%
263310052 1
< 0.1%
260416391 1
< 0.1%
257443333 1
< 0.1%
255277644 1
< 0.1%
251922714 1
< 0.1%
248763622 1
< 0.1%
246409497 1
< 0.1%

Female (Doses Administered)
Real number (ℝ)

High correlation  Missing 

Distinct7155
Distinct (%)95.9%
Missing384
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean3168416.4
Minimum2
Maximum2.3951861 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:54.370624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1946
Q152107
median334238
Q32561513
95-th percentile10885911
Maximum2.3951861 × 108
Range2.3951861 × 108
Interquartile range (IQR)2509406

Descriptive statistics

Standard deviation15153104
Coefficient of variation (CV)4.7825481
Kurtosis153.76745
Mean3168416.4
Median Absolute Deviation (MAD)329063
Skewness12.040126
Sum2.3639554 × 1010
Variance2.2961655 × 1014
MonotonicityNot monotonic
2025-08-11T21:41:54.446324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
414 8
 
0.1%
184 7
 
0.1%
3320 6
 
0.1%
2035 6
 
0.1%
6889 5
 
0.1%
16870 4
 
0.1%
34065 4
 
0.1%
24168 4
 
0.1%
2824 4
 
0.1%
309882 4
 
0.1%
Other values (7145) 7409
94.4%
(Missing) 384
 
4.9%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 1
 
< 0.1%
4 3
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 2
< 0.1%
10 2
< 0.1%
11 2
< 0.1%
13 1
 
< 0.1%
16 2
< 0.1%
ValueCountFrequency (%)
239518609 1
< 0.1%
236796948 1
< 0.1%
235857946 1
< 0.1%
233084386 1
< 0.1%
230251149 1
< 0.1%
227376100 1
< 0.1%
225275770 1
< 0.1%
221965874 1
< 0.1%
218919118 1
< 0.1%
216617587 1
< 0.1%

Transgender (Doses Administered)
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2117
Distinct (%)28.4%
Missing384
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean1162.978
Minimum0
Maximum98275
Zeros870
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:54.544262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median113
Q3800
95-th percentile3855
Maximum98275
Range98275
Interquartile range (IQR)792

Descriptive statistics

Standard deviation5931.354
Coefficient of variation (CV)5.1001428
Kurtosis157.43004
Mean1162.978
Median Absolute Deviation (MAD)113
Skewness12.095873
Sum8676979
Variance35180960
MonotonicityNot monotonic
2025-08-11T21:41:54.636078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 870
 
11.1%
1 252
 
3.2%
2 203
 
2.6%
3 166
 
2.1%
4 125
 
1.6%
9 116
 
1.5%
5 116
 
1.5%
8 84
 
1.1%
7 60
 
0.8%
6 58
 
0.7%
Other values (2107) 5411
69.0%
(Missing) 384
 
4.9%
ValueCountFrequency (%)
0 870
11.1%
1 252
 
3.2%
2 203
 
2.6%
3 166
 
2.1%
4 125
 
1.6%
5 116
 
1.5%
6 58
 
0.7%
7 60
 
0.8%
8 84
 
1.1%
9 116
 
1.5%
ValueCountFrequency (%)
98275 1
< 0.1%
96621 1
< 0.1%
96188 1
< 0.1%
94678 1
< 0.1%
93398 1
< 0.1%
91840 1
< 0.1%
90514 1
< 0.1%
88568 1
< 0.1%
87125 1
< 0.1%
86541 1
< 0.1%

Covaxin (Doses Administered)
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct4353
Distinct (%)57.1%
Missing224
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean1044669.3
Minimum0
Maximum62367416
Zeros2493
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:54.718106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11851
Q3757930
95-th percentile3274930
Maximum62367416
Range62367416
Interquartile range (IQR)757930

Descriptive statistics

Standard deviation4452258.9
Coefficient of variation (CV)4.2618834
Kurtosis97.272168
Mean1044669.3
Median Absolute Deviation (MAD)11851
Skewness9.3282066
Sum7.9614249 × 109
Variance1.9822609 × 1013
MonotonicityNot monotonic
2025-08-11T21:41:54.795855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2493
31.8%
74 141
 
1.8%
2 57
 
0.7%
1 55
 
0.7%
12 40
 
0.5%
4 33
 
0.4%
6 23
 
0.3%
39 16
 
0.2%
33 11
 
0.1%
23 10
 
0.1%
Other values (4343) 4742
60.4%
(Missing) 224
 
2.9%
ValueCountFrequency (%)
0 2493
31.8%
1 55
 
0.7%
2 57
 
0.7%
3 5
 
0.1%
4 33
 
0.4%
5 3
 
< 0.1%
6 23
 
0.3%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 6
 
0.1%
ValueCountFrequency (%)
62367416 1
< 0.1%
61524134 1
< 0.1%
61266355 1
< 0.1%
60386946 1
< 0.1%
59350900 1
< 0.1%
58451360 1
< 0.1%
57595129 1
< 0.1%
56851465 1
< 0.1%
56043444 1
< 0.1%
55439978 1
< 0.1%

CoviShield (Doses Administered)
Real number (ℝ)

High correlation  Missing 

Distinct7375
Distinct (%)96.8%
Missing224
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean8126552.9
Minimum7
Maximum4.4682505 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:54.947934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile3509
Q1133134
median756736
Q36007817
95-th percentile23445866
Maximum4.4682505 × 108
Range4.4682504 × 108
Interquartile range (IQR)5874683

Descriptive statistics

Standard deviation32984143
Coefficient of variation (CV)4.058811
Kurtosis88.922967
Mean8126552.9
Median Absolute Deviation (MAD)749671
Skewness8.9068864
Sum6.193246 × 1010
Variance1.0879537 × 1015
MonotonicityNot monotonic
2025-08-11T21:41:55.017497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1820 7
 
0.1%
807 7
 
0.1%
7304 6
 
0.1%
2780 6
 
0.1%
1519 4
 
0.1%
48273 4
 
0.1%
6029 4
 
0.1%
604961 4
 
0.1%
524343 4
 
0.1%
844155 4
 
0.1%
Other values (7365) 7571
96.5%
(Missing) 224
 
2.9%
ValueCountFrequency (%)
7 3
< 0.1%
9 2
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
23 4
0.1%
31 2
< 0.1%
38 1
 
< 0.1%
42 1
 
< 0.1%
47 1
 
< 0.1%
ValueCountFrequency (%)
446825051 1
< 0.1%
442029168 1
< 0.1%
440351772 1
< 0.1%
435549916 1
< 0.1%
430872848 1
< 0.1%
425936633 1
< 0.1%
422539027 1
< 0.1%
416629951 1
< 0.1%
411243920 1
< 0.1%
407198907 1
< 0.1%

Sputnik V (Doses Administered)
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1040
Distinct (%)34.7%
Missing4850
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean9655.5706
Minimum0
Maximum588039
Zeros1776
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:55.086277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32519
95-th percentile41172.5
Maximum588039
Range588039
Interquartile range (IQR)2519

Descriptive statistics

Standard deviation43882.536
Coefficient of variation (CV)4.5447895
Kurtosis94.173997
Mean9655.5706
Median Absolute Deviation (MAD)0
Skewness9.1109651
Sum28918434
Variance1.925677 × 109
MonotonicityNot monotonic
2025-08-11T21:41:55.158735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1776
 
22.6%
22 22
 
0.3%
2946 21
 
0.3%
1500 11
 
0.1%
2944 7
 
0.1%
1340 7
 
0.1%
104 5
 
0.1%
2749 4
 
0.1%
405 4
 
0.1%
588 4
 
0.1%
Other values (1030) 1134
 
14.5%
(Missing) 4850
61.8%
ValueCountFrequency (%)
0 1776
22.6%
1 2
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
15 1
 
< 0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
22 22
 
0.3%
25 2
 
< 0.1%
29 1
 
< 0.1%
ValueCountFrequency (%)
588039 1
< 0.1%
576647 1
< 0.1%
570957 1
< 0.1%
552254 1
< 0.1%
537190 1
< 0.1%
523280 1
< 0.1%
509772 1
< 0.1%
495740 1
< 0.1%
482501 1
< 0.1%
474554 1
< 0.1%

AEFI
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1548
Distinct (%)28.5%
Missing2407
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean1139.4025
Minimum0
Maximum26542
Zeros108
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:55.225405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q1109.25
median294
Q3808
95-th percentile2956.05
Maximum26542
Range26542
Interquartile range (IQR)698.75

Descriptive statistics

Standard deviation3454.608
Coefficient of variation (CV)3.0319469
Kurtosis31.379285
Mean1139.4025
Median Absolute Deviation (MAD)240
Skewness5.5782615
Sum6196071
Variance11934317
MonotonicityNot monotonic
2025-08-11T21:41:55.292491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 108
 
1.4%
3 81
 
1.0%
1 74
 
0.9%
85 65
 
0.8%
5 62
 
0.8%
19 58
 
0.7%
2 54
 
0.7%
4 51
 
0.7%
76 38
 
0.5%
34 37
 
0.5%
Other values (1538) 4810
61.3%
(Missing) 2407
30.7%
ValueCountFrequency (%)
0 108
1.4%
1 74
0.9%
2 54
0.7%
3 81
1.0%
4 51
0.7%
5 62
0.8%
6 11
 
0.1%
11 8
 
0.1%
12 23
 
0.3%
13 4
 
0.1%
ValueCountFrequency (%)
26542 1
< 0.1%
26380 1
< 0.1%
26120 1
< 0.1%
26021 1
< 0.1%
25936 1
< 0.1%
25864 1
< 0.1%
25794 1
< 0.1%
25730 1
< 0.1%
25626 2
< 0.1%
25507 1
< 0.1%

18-44 Years (Doses Administered)
Real number (ℝ)

High correlation  Missing 

Distinct1694
Distinct (%)99.5%
Missing6143
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean8773958.2
Minimum26624
Maximum2.2433036 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:55.356867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum26624
5-th percentile111287.7
Q1434484.25
median3095970
Q37366240.8
95-th percentile17076033
Maximum2.2433036 × 108
Range2.2430374 × 108
Interquartile range (IQR)6931756.5

Descriptive statistics

Standard deviation26608288
Coefficient of variation (CV)3.0326435
Kurtosis35.605682
Mean8773958.2
Median Absolute Deviation (MAD)2739763
Skewness5.903469
Sum1.4933277 × 1010
Variance7.0800097 × 1014
MonotonicityNot monotonic
2025-08-11T21:41:55.422651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109781 2
 
< 0.1%
350841 2
 
< 0.1%
278654 2
 
< 0.1%
133135 2
 
< 0.1%
125396 2
 
< 0.1%
124611 2
 
< 0.1%
336803 2
 
< 0.1%
302122 2
 
< 0.1%
423559 1
 
< 0.1%
420857 1
 
< 0.1%
Other values (1684) 1684
 
21.5%
(Missing) 6143
78.3%
ValueCountFrequency (%)
26624 1
< 0.1%
26839 1
< 0.1%
26925 1
< 0.1%
27065 1
< 0.1%
27393 1
< 0.1%
27420 1
< 0.1%
27540 1
< 0.1%
27678 1
< 0.1%
27725 1
< 0.1%
27745 1
< 0.1%
ValueCountFrequency (%)
224330364 1
< 0.1%
220716113 1
< 0.1%
219501484 1
< 0.1%
215689684 1
< 0.1%
212090029 1
< 0.1%
208270944 1
< 0.1%
205389843 1
< 0.1%
201077466 1
< 0.1%
197208754 1
< 0.1%
195087768 1
< 0.1%

45-60 Years (Doses Administered)
Real number (ℝ)

High correlation  Missing 

Distinct1693
Distinct (%)99.5%
Missing6143
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean7442161.2
Minimum16815
Maximum1.6675745 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:55.486198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum16815
5-th percentile69320.5
Q1232627.5
median2695938
Q36969726.5
95-th percentile14232636
Maximum1.6675745 × 108
Range1.6674064 × 108
Interquartile range (IQR)6737099

Descriptive statistics

Standard deviation22259993
Coefficient of variation (CV)2.9910656
Kurtosis32.100528
Mean7442161.2
Median Absolute Deviation (MAD)2509143.5
Skewness5.6875738
Sum1.2666558 × 1010
Variance4.9550727 × 1014
MonotonicityNot monotonic
2025-08-11T21:41:55.553829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68557 2
 
< 0.1%
70175 2
 
< 0.1%
160599 2
 
< 0.1%
68891 2
 
< 0.1%
221871 2
 
< 0.1%
189587 2
 
< 0.1%
184294 2
 
< 0.1%
66182 2
 
< 0.1%
110488 2
 
< 0.1%
233678 1
 
< 0.1%
Other values (1683) 1683
 
21.5%
(Missing) 6143
78.3%
ValueCountFrequency (%)
16815 1
< 0.1%
16884 1
< 0.1%
16906 1
< 0.1%
17014 1
< 0.1%
17172 1
< 0.1%
17179 1
< 0.1%
17260 1
< 0.1%
17427 1
< 0.1%
17646 1
< 0.1%
17666 1
< 0.1%
ValueCountFrequency (%)
166757453 1
< 0.1%
165420515 1
< 0.1%
164936885 1
< 0.1%
163655423 1
< 0.1%
162222930 1
< 0.1%
160857531 1
< 0.1%
159919512 1
< 0.1%
158350312 1
< 0.1%
156775004 1
< 0.1%
155232209 1
< 0.1%

60+ Years (Doses Administered)
Real number (ℝ)

High correlation  Missing 

Distinct1692
Distinct (%)99.4%
Missing6143
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean5641605.5
Minimum9994
Maximum1.1869269 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:55.621370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9994
5-th percentile43049.35
Q1128560.5
median1805696.5
Q35294762.8
95-th percentile10684652
Maximum1.1869269 × 108
Range1.186827 × 108
Interquartile range (IQR)5166202.2

Descriptive statistics

Standard deviation16816497
Coefficient of variation (CV)2.9807998
Kurtosis30.634095
Mean5641605.5
Median Absolute Deviation (MAD)1708431
Skewness5.5820399
Sum9.6020126 × 109
Variance2.8279456 × 1014
MonotonicityNot monotonic
2025-08-11T21:41:55.689113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54656 2
 
< 0.1%
55075 2
 
< 0.1%
97866 2
 
< 0.1%
90723 2
 
< 0.1%
54754 2
 
< 0.1%
107469 2
 
< 0.1%
53892 2
 
< 0.1%
86474 2
 
< 0.1%
115673 2
 
< 0.1%
105448 2
 
< 0.1%
Other values (1682) 1682
 
21.4%
(Missing) 6143
78.3%
ValueCountFrequency (%)
9994 1
< 0.1%
10013 1
< 0.1%
10024 1
< 0.1%
10059 1
< 0.1%
10097 1
< 0.1%
10101 1
< 0.1%
10128 1
< 0.1%
10189 1
< 0.1%
10261 1
< 0.1%
10263 1
< 0.1%
ValueCountFrequency (%)
118692689 1
< 0.1%
117993321 1
< 0.1%
117750715 1
< 0.1%
117144009 1
< 0.1%
116447979 1
< 0.1%
115782798 1
< 0.1%
115334573 1
< 0.1%
114549378 1
< 0.1%
113786107 1
< 0.1%
112793462 1
< 0.1%

18-44 Years(Individuals Vaccinated)
Real number (ℝ)

High correlation  Missing 

Distinct3696
Distinct (%)99.0%
Missing4112
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean1395894.5
Minimum1059
Maximum92243148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:55.754192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1059
5-th percentile8810.8
Q156554
median294727
Q3910516
95-th percentile4610589.4
Maximum92243148
Range92242089
Interquartile range (IQR)853962

Descriptive statistics

Standard deviation5501454.3
Coefficient of variation (CV)3.9411676
Kurtosis118.98594
Mean1395894.5
Median Absolute Deviation (MAD)271304
Skewness10.01068
Sum5.2108743 × 109
Variance3.0265999 × 1013
MonotonicityNot monotonic
2025-08-11T21:41:55.820607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6590 3
 
< 0.1%
5036 3
 
< 0.1%
58716 3
 
< 0.1%
15785 3
 
< 0.1%
228061 2
 
< 0.1%
1321 2
 
< 0.1%
95810 2
 
< 0.1%
79764 2
 
< 0.1%
27557 2
 
< 0.1%
64371 2
 
< 0.1%
Other values (3686) 3709
47.3%
(Missing) 4112
52.4%
ValueCountFrequency (%)
1059 1
< 0.1%
1069 1
< 0.1%
1102 1
< 0.1%
1139 1
< 0.1%
1218 1
< 0.1%
1220 1
< 0.1%
1231 1
< 0.1%
1260 1
< 0.1%
1278 1
< 0.1%
1289 1
< 0.1%
ValueCountFrequency (%)
92243148 1
< 0.1%
88014595 1
< 0.1%
83190167 1
< 0.1%
79130988 1
< 0.1%
73042655 1
< 0.1%
71342757 1
< 0.1%
68997968 1
< 0.1%
66811954 1
< 0.1%
64643068 1
< 0.1%
62448482 1
< 0.1%

45-60 Years(Individuals Vaccinated)
Real number (ℝ)

High correlation  Missing 

Distinct3700
Distinct (%)99.1%
Missing4111
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean2916514.8
Minimum1136
Maximum90968877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:55.885917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1136
5-th percentile14926
Q192482.25
median833039.5
Q32499280.5
95-th percentile6302965.3
Maximum90968877
Range90967741
Interquartile range (IQR)2406798.2

Descriptive statistics

Standard deviation9567607.1
Coefficient of variation (CV)3.2804932
Kurtosis45.805282
Mean2916514.8
Median Absolute Deviation (MAD)783366
Skewness6.6295382
Sum1.0890266 × 1010
Variance9.1539105 × 1013
MonotonicityNot monotonic
2025-08-11T21:41:55.951329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125377 3
 
< 0.1%
9326 3
 
< 0.1%
128929 3
 
< 0.1%
14460 3
 
< 0.1%
36060 2
 
< 0.1%
47323 2
 
< 0.1%
89832 2
 
< 0.1%
35647 2
 
< 0.1%
19636 2
 
< 0.1%
23775 2
 
< 0.1%
Other values (3690) 3710
47.3%
(Missing) 4111
52.4%
ValueCountFrequency (%)
1136 1
< 0.1%
1266 1
< 0.1%
1395 1
< 0.1%
1437 1
< 0.1%
1497 1
< 0.1%
1500 1
< 0.1%
1543 1
< 0.1%
1588 1
< 0.1%
1620 1
< 0.1%
1641 1
< 0.1%
ValueCountFrequency (%)
90968877 1
< 0.1%
89941914 1
< 0.1%
88947171 1
< 0.1%
88034483 1
< 0.1%
86653713 1
< 0.1%
85786352 1
< 0.1%
85086167 1
< 0.1%
84514167 1
< 0.1%
83939373 1
< 0.1%
83290805 1
< 0.1%

60+ Years(Individuals Vaccinated)
Real number (ℝ)

High correlation  Missing 

Distinct3684
Distinct (%)98.7%
Missing4111
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean2627444.1
Minimum558
Maximum67310981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:56.013185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum558
5-th percentile9175.8
Q156159.75
median788742.5
Q32337874
95-th percentile5612780.5
Maximum67310981
Range67310423
Interquartile range (IQR)2281714.2

Descriptive statistics

Standard deviation8192225.2
Coefficient of variation (CV)3.1179447
Kurtosis37.805116
Mean2627444.1
Median Absolute Deviation (MAD)758783.5
Skewness6.0876194
Sum9.8108761 × 109
Variance6.7112553 × 1013
MonotonicityNot monotonic
2025-08-11T21:41:56.079352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30316 4
 
0.1%
22194 3
 
< 0.1%
81831 3
 
< 0.1%
3894 3
 
< 0.1%
17857 3
 
< 0.1%
1989 3
 
< 0.1%
30875 2
 
< 0.1%
55301 2
 
< 0.1%
19301 2
 
< 0.1%
1606206 2
 
< 0.1%
Other values (3674) 3707
47.3%
(Missing) 4111
52.4%
ValueCountFrequency (%)
558 1
< 0.1%
1085 1
< 0.1%
1111 1
< 0.1%
1120 1
< 0.1%
1159 1
< 0.1%
1200 2
< 0.1%
1244 1
< 0.1%
1263 1
< 0.1%
1297 1
< 0.1%
1335 1
< 0.1%
ValueCountFrequency (%)
67310981 1
< 0.1%
66858838 1
< 0.1%
66423283 1
< 0.1%
66002905 1
< 0.1%
65402486 1
< 0.1%
65076837 1
< 0.1%
64765494 1
< 0.1%
64514699 1
< 0.1%
64262201 1
< 0.1%
63979181 1
< 0.1%

Male(Individuals Vaccinated)
Real number (ℝ)

High correlation  Missing 

Distinct159
Distinct (%)99.4%
Missing7685
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean44616868
Minimum23757
Maximum1.3494197 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:56.223524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23757
5-th percentile294861.65
Q15739350
median37165905
Q374416634
95-th percentile1.150613 × 108
Maximum1.3494197 × 108
Range1.3491821 × 108
Interquartile range (IQR)68677284

Descriptive statistics

Standard deviation39507493
Coefficient of variation (CV)0.88548334
Kurtosis-1.0339113
Mean44616868
Median Absolute Deviation (MAD)32813890
Skewness0.46772882
Sum7.1386989 × 109
Variance1.560842 × 1015
MonotonicityNot monotonic
2025-08-11T21:41:56.301245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6008960 2
 
< 0.1%
69304346 1
 
< 0.1%
65445771 1
 
< 0.1%
65972485 1
 
< 0.1%
66183753 1
 
< 0.1%
66737774 1
 
< 0.1%
67265833 1
 
< 0.1%
67881167 1
 
< 0.1%
68616643 1
 
< 0.1%
69899266 1
 
< 0.1%
Other values (149) 149
 
1.9%
(Missing) 7685
98.0%
ValueCountFrequency (%)
23757 1
< 0.1%
27348 1
< 0.1%
41361 1
< 0.1%
81901 1
< 0.1%
98111 1
< 0.1%
132784 1
< 0.1%
193899 1
< 0.1%
267856 1
< 0.1%
296283 1
< 0.1%
444137 1
< 0.1%
ValueCountFrequency (%)
134941971 1
< 0.1%
131919150 1
< 0.1%
128567271 1
< 0.1%
125704054 1
< 0.1%
121366817 1
< 0.1%
120139375 1
< 0.1%
118293011 1
< 0.1%
116630688 1
< 0.1%
114978703 1
< 0.1%
113266182 1
< 0.1%

Female(Individuals Vaccinated)
Real number (ℝ)

High correlation  Missing 

Distinct159
Distinct (%)99.4%
Missing7685
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean39510180
Minimum24517
Maximum1.1566845 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:56.373355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum24517
5-th percentile536267.1
Q15023407.2
median33654024
Q366853682
95-th percentile97996585
Maximum1.1566845 × 108
Range1.1564393 × 108
Interquartile range (IQR)61830275

Descriptive statistics

Standard deviation34176841
Coefficient of variation (CV)0.86501356
Kurtosis-1.1855968
Mean39510180
Median Absolute Deviation (MAD)29340538
Skewness0.38639581
Sum6.3216287 × 109
Variance1.1680565 × 1015
MonotonicityNot monotonic
2025-08-11T21:41:56.449897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5131373 2
 
< 0.1%
62972623 1
 
< 0.1%
59914751 1
 
< 0.1%
60339903 1
 
< 0.1%
60503747 1
 
< 0.1%
60942039 1
 
< 0.1%
61344881 1
 
< 0.1%
61832097 1
 
< 0.1%
62424602 1
 
< 0.1%
63449164 1
 
< 0.1%
Other values (149) 149
 
1.9%
(Missing) 7685
98.0%
ValueCountFrequency (%)
24517 1
< 0.1%
31252 1
< 0.1%
58083 1
< 0.1%
113613 1
< 0.1%
153145 1
< 0.1%
233143 1
< 0.1%
355402 1
< 0.1%
491049 1
< 0.1%
538647 1
< 0.1%
832766 1
< 0.1%
ValueCountFrequency (%)
115668447 1
< 0.1%
112980429 1
< 0.1%
110074369 1
< 0.1%
107542051 1
< 0.1%
103804672 1
< 0.1%
102137801 1
< 0.1%
100624989 1
< 0.1%
99275854 1
< 0.1%
97929255 1
< 0.1%
96513504 1
< 0.1%

Transgender(Individuals Vaccinated)
Real number (ℝ)

High correlation  Missing 

Distinct156
Distinct (%)97.5%
Missing7685
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean12370.544
Minimum2
Maximum46462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:56.519290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile126.75
Q11278.75
median8007.5
Q319851
95-th percentile37427.6
Maximum46462
Range46460
Interquartile range (IQR)18572.25

Descriptive statistics

Standard deviation12485.027
Coefficient of variation (CV)1.0092545
Kurtosis-0.17864405
Mean12370.544
Median Absolute Deviation (MAD)7231
Skewness0.90450432
Sum1979287
Variance1.5587589 × 108
MonotonicityNot monotonic
2025-08-11T21:41:56.589714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1318 4
 
0.1%
1020 2
 
< 0.1%
16651 1
 
< 0.1%
16862 1
 
< 0.1%
17205 1
 
< 0.1%
17377 1
 
< 0.1%
17645 1
 
< 0.1%
17858 1
 
< 0.1%
18052 1
 
< 0.1%
18149 1
 
< 0.1%
Other values (146) 146
 
1.9%
(Missing) 7685
98.0%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
11 1
< 0.1%
24 1
< 0.1%
38 1
< 0.1%
80 1
< 0.1%
103 1
< 0.1%
128 1
< 0.1%
201 1
< 0.1%
ValueCountFrequency (%)
46462 1
< 0.1%
45301 1
< 0.1%
43876 1
< 0.1%
42702 1
< 0.1%
40219 1
< 0.1%
39721 1
< 0.1%
38863 1
< 0.1%
38066 1
< 0.1%
37394 1
< 0.1%
36753 1
< 0.1%

Total Individuals Vaccinated
Real number (ℝ)

High correlation  Missing 

Distinct5676
Distinct (%)95.9%
Missing1926
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean4547841.6
Minimum7
Maximum2.5065688 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.4 KiB
2025-08-11T21:41:56.658770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile2257.7
Q174275.5
median402288
Q33501562
95-th percentile13008200
Maximum2.5065688 × 108
Range2.5065687 × 108
Interquartile range (IQR)3427286.5

Descriptive statistics

Standard deviation18341821
Coefficient of variation (CV)4.0330827
Kurtosis81.633892
Mean4547841.6
Median Absolute Deviation (MAD)396928
Skewness8.5983801
Sum2.6918674 × 1010
Variance3.3642241 × 1014
MonotonicityNot monotonic
2025-08-11T21:41:56.733561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1824 7
 
0.1%
807 7
 
0.1%
2780 6
 
0.1%
7304 6
 
0.1%
284640 4
 
0.1%
23 4
 
0.1%
535955 4
 
0.1%
1519 4
 
0.1%
2060 4
 
0.1%
367699 4
 
0.1%
Other values (5666) 5869
74.8%
(Missing) 1926
 
24.6%
ValueCountFrequency (%)
7 3
< 0.1%
9 2
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
23 4
0.1%
31 2
< 0.1%
38 1
 
< 0.1%
42 1
 
< 0.1%
47 1
 
< 0.1%
ValueCountFrequency (%)
250656880 1
< 0.1%
244944880 1
< 0.1%
238685516 1
< 0.1%
233288807 1
< 0.1%
225211708 1
< 0.1%
222316897 1
< 0.1%
218956863 1
< 0.1%
215944608 1
< 0.1%
212945352 1
< 0.1%
209816439 1
< 0.1%

Interactions

2025-08-11T21:41:51.233876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:15.183813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:19.459242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:23.303857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:24.635124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:26.036838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:27.274527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:28.592063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:29.803578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:31.086446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:32.391714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:33.693960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:35.161130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:37.794909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:41.768753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:43.119860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:44.287332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:45.512067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:46.691985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:47.996469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:49.045622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:50.179833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:51.289499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:15.327226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:19.591672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:23.368722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:24.703070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:26.098986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:27.330835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:28.644098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:29.862995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:31.145017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:32.444710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:33.749102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:35.225154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:37.964176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:41.834526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:43.178960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:44.349789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:45.564078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:46.750056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:48.052538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:49.093281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:50.225003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:51.343098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:15.646449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:19.729775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:23.436094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:24.771185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:26.162885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:27.385935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:28.698143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:29.922965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:31.207833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:32.500005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:33.805454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:35.298891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:38.115871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:41.903277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:43.232978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:44.409268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:45.618428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:46.807371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:48.112935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:49.142650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:50.271514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:51.399217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:15.791167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:19.865973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:23.492113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:24.840547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:26.228153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:27.439482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:28.750448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:29.974532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:31.269317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:32.559707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:33.863216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:35.367756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:38.286303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:41.969378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:43.287490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:44.469173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:45.671975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:46.865958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:48.168107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:49.199567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:50.315820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:51.451793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:16.130739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:19.988815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:23.553046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:24.906796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:26.293149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:27.495475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:48.677552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:21.981486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:32.077895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:33.446274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:34.879361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:37.200162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:48.804632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:44.107747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:22.869611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:50.039905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:51.042092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:52.368071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:19.232479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:23.070887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:29.695048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:32.284190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:33.596474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:35.046490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:37.547561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:29.742046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:31.018225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:32.334881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:33.641812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:35.097843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:43.074057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-11T21:41:45.458800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:46.639763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:47.931524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:48.997046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:50.132672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-11T21:41:51.181569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-08-11T21:41:56.809723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Covaxin (Doses Administered)Sites18-44 Years (Doses Administered)18-44 Years(Individuals Vaccinated)45-60 Years (Doses Administered)45-60 Years(Individuals Vaccinated)60+ Years (Doses Administered)60+ Years(Individuals Vaccinated)AEFICoviShield (Doses Administered)Female (Doses Administered)Female(Individuals Vaccinated)First Dose AdministeredMale (Doses Administered)Male(Individuals Vaccinated)Second Dose AdministeredSessionsSputnik V (Doses Administered)StateTotal Doses AdministeredTotal Individuals VaccinatedTransgender (Doses Administered)Transgender(Individuals Vaccinated)
Covaxin (Doses Administered)1.0000.7540.9570.9340.9570.9170.9490.9100.6640.8670.8731.0000.8810.8681.0000.8290.8000.7340.2540.8780.8590.8401.000
Sites0.7541.0000.7990.8230.8200.8570.8020.8670.5830.6960.7020.3730.7160.6780.3730.5890.7830.4780.3250.7050.7750.6410.373
18-44 Years (Doses Administered)0.9570.7991.000NaN0.974NaN0.956NaN0.7180.9860.983NaN0.9900.991NaN0.9660.7760.8230.3910.988NaN0.976NaN
18-44 Years(Individuals Vaccinated)0.9340.823NaN1.000NaN0.946NaN0.9290.6740.9610.9541.0000.9640.9651.0000.9620.8820.4390.2950.9660.9640.9601.000
45-60 Years (Doses Administered)0.9570.8200.974NaN1.000NaN0.986NaN0.7420.9950.996NaN0.9930.991NaN0.9880.7980.8220.4430.995NaN0.969NaN
45-60 Years(Individuals Vaccinated)0.9170.857NaN0.946NaN1.000NaN0.9760.7030.9930.9911.0000.9930.9911.0000.9810.8930.4450.3100.9930.9930.9781.000
60+ Years (Doses Administered)0.9490.8020.956NaN0.986NaN1.000NaN0.7560.9870.988NaN0.9820.980NaN0.9830.7910.8110.5560.986NaN0.961NaN
60+ Years(Individuals Vaccinated)0.9100.867NaN0.929NaN0.976NaN1.0000.7340.9870.9881.0000.9870.9821.0000.9630.8960.4130.3510.9850.9870.9591.000
AEFI0.6640.5830.7180.6740.7420.7030.7560.7341.0000.7110.6971.0000.7130.6841.0000.7040.5860.5380.5430.7130.7150.6731.000
CoviShield (Doses Administered)0.8670.6960.9860.9610.9950.9930.9870.9870.7111.0000.9971.0000.9990.9971.0000.9630.9190.7030.2620.9990.9990.9821.000
Female (Doses Administered)0.8730.7020.9830.9540.9960.9910.9880.9880.6970.9971.000NaN0.9970.993NaN0.9570.9080.7310.4420.9970.9970.979NaN
Female(Individuals Vaccinated)1.0000.373NaN1.000NaN1.000NaN1.0001.0001.000NaN1.0001.000NaN1.0000.9970.8981.0001.0001.0001.000NaN1.000
First Dose Administered0.8810.7160.9900.9640.9930.9930.9820.9870.7130.9990.9971.0001.0000.9971.0000.9560.9180.7060.2620.9991.0000.9801.000
Male (Doses Administered)0.8680.6780.9910.9650.9910.9910.9800.9820.6840.9970.993NaN0.9971.000NaN0.9710.9140.7220.4540.9980.9970.981NaN
Male(Individuals Vaccinated)1.0000.373NaN1.000NaN1.000NaN1.0001.0001.000NaN1.0001.000NaN1.0000.9970.8981.0001.0001.0001.000NaN1.000
Second Dose Administered0.8290.5890.9660.9620.9880.9810.9830.9630.7040.9630.9570.9970.9560.9710.9971.0000.8890.7200.2430.9640.9300.9510.997
Sessions0.8000.7830.7760.8820.7980.8930.7910.8960.5860.9190.9080.8980.9180.9140.8980.8891.0000.5560.2660.9180.9450.8890.898
Sputnik V (Doses Administered)0.7340.4780.8230.4390.8220.4450.8110.4130.5380.7030.7311.0000.7060.7221.0000.7200.5561.0000.2550.7110.4400.7191.000
State0.2540.3250.3910.2950.4430.3100.5560.3510.5430.2620.4421.0000.2620.4541.0000.2430.2660.2551.0000.2600.2530.4331.000
Total Doses Administered0.8780.7050.9880.9660.9950.9930.9860.9850.7130.9990.9971.0000.9990.9981.0000.9640.9180.7110.2601.0000.9990.9801.000
Total Individuals Vaccinated0.8590.775NaN0.964NaN0.993NaN0.9870.7150.9990.9971.0001.0000.9971.0000.9300.9450.4400.2530.9991.0000.9741.000
Transgender (Doses Administered)0.8400.6410.9760.9600.9690.9780.9610.9590.6730.9820.979NaN0.9800.981NaN0.9510.8890.7190.4330.9800.9741.000NaN
Transgender(Individuals Vaccinated)1.0000.373NaN1.000NaN1.000NaN1.0001.0001.000NaN1.0001.000NaN1.0000.9970.8981.0001.0001.0001.000NaN1.000

Missing values

2025-08-11T21:41:52.555717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-08-11T21:41:52.712166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-08-11T21:41:52.941962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Updated OnStateTotal Doses AdministeredSessionsSitesFirst Dose AdministeredSecond Dose AdministeredMale (Doses Administered)Female (Doses Administered)Transgender (Doses Administered)Covaxin (Doses Administered)CoviShield (Doses Administered)Sputnik V (Doses Administered)AEFI18-44 Years (Doses Administered)45-60 Years (Doses Administered)60+ Years (Doses Administered)18-44 Years(Individuals Vaccinated)45-60 Years(Individuals Vaccinated)60+ Years(Individuals Vaccinated)Male(Individuals Vaccinated)Female(Individuals Vaccinated)Transgender(Individuals Vaccinated)Total Individuals Vaccinated
016/01/2021India48276.03455.02957.048276.00.0NaNNaNNaN579.047697.0NaNNaNNaNNaNNaNNaNNaNNaN23757.024517.02.048276.0
117/01/2021India58604.08532.04954.058604.00.0NaNNaNNaN635.057969.0NaNNaNNaNNaNNaNNaNNaNNaN27348.031252.04.058604.0
218/01/2021India99449.013611.06583.099449.00.0NaNNaNNaN1299.098150.0NaNNaNNaNNaNNaNNaNNaNNaN41361.058083.05.099449.0
319/01/2021India195525.017855.07951.0195525.00.0NaNNaNNaN3017.0192508.0NaNNaNNaNNaNNaNNaNNaNNaN81901.0113613.011.0195525.0
420/01/2021India251280.025472.010504.0251280.00.0NaNNaNNaN3946.0247334.0NaNNaNNaNNaNNaNNaNNaNNaN98111.0153145.024.0251280.0
521/01/2021India365965.032226.012600.0365965.00.0NaNNaNNaN5367.0360598.0NaNNaNNaNNaNNaNNaNNaNNaN132784.0233143.038.0365965.0
622/01/2021India549381.036988.014115.0549381.00.0NaNNaNNaN8128.0541253.0NaNNaNNaNNaNNaNNaNNaNNaN193899.0355402.080.0549381.0
723/01/2021India759008.043076.015605.0759008.00.0NaNNaNNaN11192.0747816.0NaNNaNNaNNaNNaNNaNNaNNaN267856.0491049.0103.0759008.0
824/01/2021India835058.049851.018111.0835058.00.0NaNNaNNaN13156.0821902.0NaNNaNNaNNaNNaNNaNNaNNaN296283.0538647.0128.0835058.0
925/01/2021India1277104.055151.019682.01277104.00.0NaNNaNNaN18858.01258246.0NaNNaNNaNNaNNaNNaNNaNNaN444137.0832766.0201.01277104.0
Updated OnStateTotal Doses AdministeredSessionsSitesFirst Dose AdministeredSecond Dose AdministeredMale (Doses Administered)Female (Doses Administered)Transgender (Doses Administered)Covaxin (Doses Administered)CoviShield (Doses Administered)Sputnik V (Doses Administered)AEFI18-44 Years (Doses Administered)45-60 Years (Doses Administered)60+ Years (Doses Administered)18-44 Years(Individuals Vaccinated)45-60 Years(Individuals Vaccinated)60+ Years(Individuals Vaccinated)Male(Individuals Vaccinated)Female(Individuals Vaccinated)Transgender(Individuals Vaccinated)Total Individuals Vaccinated
783506/08/2021West Bengal31774086.0930084.02485.022745949.09028137.016949389.014819919.04778.03990579.027743329.040178.01740.011349241.011608035.08816810.0NaNNaNNaNNaNNaNNaNNaN
783607/08/2021West Bengal32029325.0727057.01833.022959053.09070272.017066449.014958036.04840.04077069.027910835.041421.01759.011526470.011661738.08841117.0NaNNaNNaNNaNNaNNaNNaN
783708/08/2021West Bengal32098768.0271684.0584.023017864.09080904.017098464.014995446.04858.04091163.027965147.042458.01771.011573400.011676065.08849303.0NaNNaNNaNNaNNaNNaNNaN
783809/08/2021West Bengal32390378.0866173.02086.023257417.09132961.017234284.015151152.04942.04168230.028178632.043516.01782.011765330.011743594.08881454.0NaNNaNNaNNaNNaNNaNNaN
783910/08/2021West BengalNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
784011/08/2021West BengalNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
784112/08/2021West BengalNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
784213/08/2021West BengalNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
784314/08/2021West BengalNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
784415/08/2021West BengalNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN